Micro-blog Friend Recommendation Algorithms Based on Content and Social Relationship

  • Liangbin YangEmail author
  • Binyang Li
  • Xinli Zhou
  • Yanmei Kang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 422)


First, this paper researches the micro-blog information push, which leads to the concept of user’s friends, expounds the reason and meaning of friends recommendation algorithm, and introduces its current research situation, the paper has made the detailed introduction and analysis of existing algorithms and made a comprehensive comparison of the advantages and disadvantages of them. Then we make a recommendation of the micro-blog friend recommendation algorithms, which has two broad categories and three types: the recommendation algorithm based on content, the topology recommendation algorithm based on social relations and the filtering recommendation algorithm. Through the analysis of existing micro-blog friends recommendation algorithm, we represent the process of the algorithm and emphatically elaborated the implementation process, and finally we work out the Reasonable weighting of the three recommendation algorithm, get a sequence of recommended as a result, improved the algorithms, and reached a more comprehensive recommendation method. The improved algorithm could be a more effective way of potentially friends recommended for users.


Micro-blog Information push Social relationship Friend recommendation Algorithm 



Supported by “the Fundamental Research Funds for the Central Universities” and “National Natural Science Foundation of China”, Project No. 3262015T20, 3262016T31, 3262015T70, 3262014T75, 61502115. Project Leader: Liangbin YANG; Binyang LI.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Liangbin Yang
    • 1
    Email author
  • Binyang Li
    • 1
  • Xinli Zhou
    • 1
  • Yanmei Kang
    • 1
  1. 1.School of Information Science and TechnologyUniversity of International RelationsBeijingChina

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